Apr 2022 – Present · 4 yrs 1 mo · Bengaluru, Karnataka, India

• As Co-founder and Head of Product Strategy at Rubick AI, I led our transformation from an e-commerce cataloging firm into a leading pre-purchase operating system. I built the product and technology powering AI-driven catalog workflows, competitive intelligence, and SEO-led growth across marketplaces. Under my leadership, we scaled a 30-member team, secured adoption by Amazon, Walmart Group, Tata, Reliance Jio, Decathlon, Swiggy, and Jockey, while unlocking an adjacent TAM by expanding from marketplaces to 3,000+ brands, with contracts covering 10,000+ in the pipeline.

Apr 2022 – Aug 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

• With my leadership as the Head of Product and Technology Strategy at
• Cataloging.ai, we achieved a remarkable transformation from an end-to-end e-commerce cataloging firm to becoming a leading force in product performance and intelligence. By effectively managing our talented team, we maintained an impressively low churn rate of below 5% while driving substantial growth, with technology revenue contributing to 85% of our total revenue. One of our most significant accomplishments was the development of eight cutting-edge Al models that automated the entire cataloging process, propelling us to establish valuable partnerships with renowned companies like Myntra, Amazon, Jio Mart, Nykaa, JustInTimes, and eBay. Our impact in the industry has been profound, solidifying Cataloging.ai as a pivotal player in the market.

Jan 2022 – Jun 2022 · 5 mos · Hybrid

• At Zipteams, I worked with the team to build an AI-first CRM workflow, pioneering the use of Generative AI for sales. We tackled AI-at-scale and low-latency challenges to deliver real-time, ROI-driven sales enablement. Our platform, trusted by companies like Hero, Khatabook, Samco, Insurity, and Adda24x7, leverages multiple agentic AI systems designed to keep sales teams metric-focused and performance-driven.

Dec 2021 – Jun 2022 · 6 mos · United States · Hybrid

Oct 2021 – Jul 2022 · 9 mos · India · Hybrid

• Y Combinator Company | During my time at Leena Al, I led the development of a flagship HRMS knowledge-base product for enterprise and public companies. My main focus was on building generative Al models to automate interactions within the knowledge-base. I successfully worked on various models, including vector search, QA builders, intent classification, and matching, as well as PDF segmentation and training data virtualization. These efforts were aimed at empowering existing products with Al-powered automation, enhancing efficiency and effectiveness for our clients.

Sep 2021 – Dec 2021 · 3 mos

Mar 2021 – Dec 2021 · 9 mos

• I gradually led the engineering department in shifting the company's core focus from traditional technology to becoming an Al tech company. I spearheaded the vision of seamlessly integrating our enterprise and SaaS products with stacks of ML/Al tools for scalability and growth.

Oct 2020 – Mar 2021 · 5 mos

• Built and nurtured a team of 20 talented individuals to increase automation in our enterprise products.

Feb 2020 – Oct 2020 · 8 mos

• Started Al division in this 5-years old cataloging based company. Converted existing manual efforts to Al-based automated tools, those are reducing the workload of our operation team or else getting used as a dedicated service. With my team, I have built IR-based cataloging, text generation, Al-based HTML cataloging to help brands moving to a different marketplace, Al-based Image editing to support different marketplace image guidelines, Link sourcing, etc.

Jan 2021 – Aug 2022 · 1 yr 7 mos · Greater London, England, United Kingdom · Hybrid

• At Togggle, we pioneered a decentralized KYC platform for Europe, backed by Decelera and Plug and Play. Our mission was to solve two major pain points:
• For businesses — losing up to 70% of customers due to slow and repetitive KYC validation processes.
• For individuals — the frustration of submitting KYC documents repeatedly across platforms (investment, crypto, NFT, banking, etc.) while risking data breaches.
• By leveraging blockchain and working with industry leaders like Polygon and Filecoin, we aimed to create a secure, reusable, and privacy-first identity verification system.

Jun 2020 – Jul 2020 · 1 mo · California, United States

• User research on Google Kubernetes Engine.

May 2020 – Jun 2020 · 1 mo · California, United States

• User research on google hangout.

Dec 2018 – Feb 2020 · 1 yr 2 mos · Indore, Madhya Pradesh, India

• Techstar Company | Acquired by GTMHUB | Founding Team | I was the very first employee of Greendeck. Alongside my team, I have made significant contributions in the fields of Machine Learning, Data Science, Scrapy, and DevOps. In Machine Learning, I focused on developing product similarity models, multi-level classifications, and fine-tuning Google BERT on custom datasets for various use cases. Additionally, I conducted key entity analysis and market demand forecasting on over 12 lakhs promotional newsletters. I also led multiple experiments for exact product matching using unsupervised and semi-supervised methods, including multi-modal networks.
• Together with my team, we successfully transitioned Greendeck's dashboard and API backend to an asynchronous Node.js platform, emphasizing MVC architecture, query optimization, reusability, security, and speed. Moreover, we deployed ElasticSearch in GKE with high memory optimization and implemented real-time data sync from MongoDB, efficiently handling TimeSeries data. Our efforts were recognized, earning a feature in Forbes's top 4 Emerging Al startup list.